DocumentCode
2097366
Title
A Bioinformatic Approach to Genetic Diversity
Author
Grewal, H.K. ; Sandhu, P.S. ; Singh, Manpreet
Author_Institution
Dept. of CSE & I.T., Guru Nanak Dev. Eng. Coll., Punjab
fYear
2006
fDate
13-14 Nov. 2006
Firstpage
761
Lastpage
764
Abstract
This paper deals with the various search and analysis techniques involving different possible pairs of varieties selected on the basis of morphological characters, climatic conditions and nutrients so as to obtain the optimal pair that can produce the required crossbreed variety. An algorithm has been developed to determine the genetic diversity between the selected wheat varieties. Data mining techniques have been used for retrieving the results. Dummy values have been assumed wherever actual data was not available. MATLAB has been deployed to demonstrate the results in a better visual perspective
Keywords
biology computing; biotechnology; data mining; genetics; mathematics computing; MATLAB; bioinformatic approach; climatic conditions; crossbreed variety; data mining; genetic diversity; nutrients; wheat varieties; Bioinformatics; Biological system modeling; Biology; Biotechnology; Data mining; Databases; Educational institutions; Genetics; Information retrieval; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies, 2006. ICET '06. International Conference on
Conference_Location
Peshawar
Print_ISBN
1-4244-0502-5
Electronic_ISBN
1-4244-0503-3
Type
conf
DOI
10.1109/ICET.2006.335940
Filename
4136908
Link To Document